Matlab simulation in Denmark:
Matlab simulation in Denmark The proposed method, however, decodes the background information peripherally around theVOI according to the mean energy of the code-cubes, which results in a higher reconstruction quality than that attained bymatlab simulation in Denmark the GSB method. Note that the VOIs decoded by the and the GSB methods appear to be of different size when compared
to the VOI decoded by the proposed method. Let us remember that the and the GSB methods work on a coefficient-basis and thus, both methods are able to decode more precisely only those coefficients within the VOI at higher quality than the background matlab simulation in Denmarkcoefficients. In other words, the granularity of the and GSB methods in representing a VOI in the sub-band domain is one wavelet coefficient, as opposed to the proposed method, where the granularity is one code-cube.
Therefore, in the proposed method, the code-cube sizes have a direct impact on the size of the decoded VOI. This will be further discussed in the next subsection. In this section, we evaluated the trade-off between the size of the decoded VOI and coding performance, for matlab simulation in Denmarkvarious codecube sizes. In order to measure how similar the size and location of the decoded VOI are to the size and location of the desired VOI, we employ a VOI shape decoding quality defined by a set of two values, and ;
where denotes the absolute value of the difference between the lower left-hand where is the volume size of the region represented by codecube in the spatial domain matlab simulation in Denmark and is the volume size of the desired VOI in the spatial domain. A value means that the decoded VOI is equal in volume size to the desired VOI, a value means that the decoded .